Stephen Jose Hanson

Publication Activity (10 Years)

Years Active: 1984-2016
Publications (10 Years): 1

Top Topics

Action Theories

Objects In Video Sequences

Temporal Coherence

Top Venues

Publications

Leyla Roksan Caglar, Stephen Jose Hanson
Deep Learning and Attentional Bias in Human Category Learning. CogSci (2016)
Colleen Mills-Finnerty, Catherine Hanson, Stephen Jose Hanson
Brain network response underlying decisions about abstract reinforcers. NeuroImage 103 (2014)
Yaroslav O. Halchenko, Michael Hanke, James V. Haxby, Stephen Jose Hanson, Christoph S. Herrmann
Transmodal Analysis of Neural Signals. CoRR (2013)
Stephen Jose Hanson, Malcolm Bauer
Machine Learning, Clustering, and Polymorphy CoRR (2013)
Chenliang Xu, Richard F. Doell, Stephen Jose Hanson, Catherine Hanson, Jason J. Corso
Are Actor and Action Semantics Retained in Video Supervoxel Segmentation? ICSC (2013)
Stephen Jose Hanson, Yaroslav O. Halchenko
Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No "Face" Identification Area. Neural Comput. 20 (2) (2008)
Toshihiko Matsuka, James E. Corter, Stephen Jose Hanson
Irresistibly Attractive Fruitless Feature Dimensions. ICCM (2004)
Benjamin Martin Bly, Donovan Rebbechi, Stephen Jose Hanson, Giorgio Grasso
The RUMBA software - Tools for neuroimaging data analysis. Neuroinformatics 2 (1) (2004)
Stephen Jose Hanson, Michiro Negishi
On the Emergence of Rules in Neural Networks. Neural Comput. 14 (9) (2002)
Michiro Negishi, Stephen Jose Hanson
Grammar Transfer in a Second Order Recurrent Neural Network. NIPS (2001)
Nathalie Japkowicz, Stephen Jose Hanson, Mark A. Gluck
Nonlinear Autoassociation Is Not Equivalent to PCA. Neural Comput. 12 (3) (2000)
Nathalie Japkowicz, Stephen Jose Hanson
Adaptability of the backpropagation procedure. IJCNN (1999)
Stephen Jose Hanson
Michael Arbib's The Metaphorical Brain 2: The Sequel? Artif. Intell. 101 (1-2) (1998)
Thomas Petsche, Angelo Marcantonio, Christian Darken, Stephen Jose Hanson, Gary M. Kuhn, N. Iwan Santoso
A Neural Network Autoassociator for Induction Motor Failure Prediction. NIPS (1995)
Robert W. Schwanke, Stephen Jose Hanson
Using Neural Networks to Modularize Software. Mach. Learn. 15 (2) (1994)
Stephen Jose Hanson
Introduction. Machine Learning: From Theory to Applications (1993)
Stephen Jose Hanson, Werner Remmele, Ronald L. Rivest
Strategic Directions in Machine Learning. Machine Learning: From Theory to Applications (1993)
Stephen Jose Hanson, Mark A. Gluck
Spherical Units as Dynamic Consequential Regions. NIPS (1990)
Stephen Jose Hanson
Meiosis Networks. NIPS (1989)
Stephen Jose Hanson, Malcolm Bauer
Conceptual Clustering, Categorization, and Polymorphy. Mach. Learn. 3 (1989)
Stephen Jose Hanson, Lorien Y. Pratt
Comparing Biases for Minimal Network Construction with Back-Propagation. NIPS (1988)
Stephen Jose Hanson, David J. Burr
Minkowski-r Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals. NIPS (1987)
Stephen Jose Hanson, Richard R. Rosinski
Programmer Perceptions of Productivity and Programming Tools. Commun. ACM 28 (2) (1985)
Stephen Jose Hanson, Malcolm Bauer
Machine Learning, Clustering and Polymorphy. UAI (1985)
Stephen Jose Hanson, Robert E. Kraut, James M. Farber
Interface Design and Multivariate Analysis of UNIX Command Use. ACM Trans. Inf. Syst. 2 (1) (1984)